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Gear transmission device multi-objective optimization design method based on self-adaptive agent model

A technology of multi-objective optimization and self-adaptive surrogate, applied in the field of multi-objective optimal design of gear transmission based on self-adaptive surrogate model

Inactive Publication Date: 2020-03-17
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0009] The purpose of the present invention is to propose a multi-objective optimal design method for gear transmissions based on an adaptive surrogate model

Method used

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  • Gear transmission device multi-objective optimization design method based on self-adaptive agent model
  • Gear transmission device multi-objective optimization design method based on self-adaptive agent model
  • Gear transmission device multi-objective optimization design method based on self-adaptive agent model

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Embodiment Construction

[0063] General method of the present invention is described below in conjunction with accompanying drawing:

[0064] Such as figure 1 As shown, a multi-objective optimization design method for gear transmissions based on an adaptive surrogate model includes the following steps:

[0065] Step 1: Establish a numerical simulation model of the gear transmission, and determine the design variables, constraint functions and objective functions according to the structural characteristics of the gear transmission, so as to establish an optimal design problem for the gear transmission. The specific expression is formula (1):

[0066]

[0067] s.t.g k (X)≤b k ,k=1,2,...,m

[0068]

[0069] In formula (1), f i (X) is the objective function, g k (X) is the constraint function, b k is a constant value, X is an n-dimensional design vector, and its value range is

[0070] Step 2: Using the Latin hypercube experimental design method in the design domain space Sampling of samp...

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Abstract

The invention discloses a gear transmission device multi-objective optimization design method based on a self-adaptive agent model. According to the method, sample points are sampled through a Latin hypercube experiment design method, meanwhile, optimal shape parameters corresponding to the sample points are solved through a radial basis function, and the solved optimal shape parameters are combined with the sample points to construct an agent model of the gear transmission device; in order to improve the calculation efficiency, a local encryption approximation model method is introduced intoan iterative solving process, meanwhile, the precision of the agent model and a calculation result is ensured by reconstructing the agent model for multiple times, and a non-dominated solution set meeting the structural characteristics of the gear transmission device is solved through a multi-objective optimization method; according to the method, the structural characteristics of the gear transmission device can be effectively improved, the optimized calculation efficiency and solving quality can be essentially improved, and the method has wide engineering application value in the field of gear transmission device design.

Description

technical field [0001] The invention relates to the field of structural design of a gear transmission device, in particular to a multi-objective optimization design method for a gear transmission device based on an adaptive proxy model. Background technique [0002] Wheel drive is one of the most common forms of transmission in mechanical transmission systems. The structural characteristics of the gear transmission will directly affect the transmission efficiency of the mechanical system. [0003] For the design of gear transmission, the existing optimal design methods have the following problems: [0004] 1. There are existing optimization design methods for gear transmissions, some of which are based on numerical simulation technology to optimize the design of gear transmissions, such as the patent with the publication number CN106528991A "Method for Optimal Design of Gearboxes Based on Taylor Stochastic Finite Elements" , but time-consuming numerical models and high com...

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Application Information

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IPC IPC(8): G06F30/20G06F30/17G06F111/06
Inventor 刘鑫陈德周振华龚敏刘祥
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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